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Working with Dates and Times in Python

Working with Dates and Times in Python

Run the hidden code cell below to import the data used in this course.

Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

Add your notes here

# Add your code snippets here

Explore Datasets

Use the DataFrames imported in the first cell to explore the data and practice your skills!

  • Count how many hurricanes made landfall each year in Florida using florida_hurricane_dates.
  • Reload the dataset datasets/capital-onebike.csv so that it correctly parses date and time columns.
  • Calculate the average trip duration of bike rentals on weekends in rides. Compare it with the average trip duration of bike rentals on weekdays.